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avalonia

Expert guidance for developing cross-platform desktop applications with Avalonia UI framework. Use when building, debugging, or optimizing Avalonia apps including MVVM architecture, XAML design, data binding, styling, theming, custom controls, and cross-platform deployment for Windows, macOS, Linux, iOS, Android, and WebAssembly.

markpitt
markpitt
232

gof-design-patterns

Orchestrates Gang of Four design pattern implementations across 8 languages. Analyzes user problems to select optimal pattern(s) from creational, structural, and behavioral categories. Provides concrete, production-ready implementations with explanations and trade-offs.

markpitt
markpitt
232

ai-coding-agent-setup

Configures AI agents (GitHub Copilot, Claude Code, Cursor, Codex) to understand a codebase and self-improve as the project evolves. Use when setting up a new project for AI-assisted development, onboarding AI agents to an existing repo, creating AGENTS.md, configuring MCP servers for code navigation, packaging project workflows as agent skills, or establishing self-improvement feedback loops. Covers AGENTS.md authoring, skill packaging, MCP configuration, context management, and living-documentation strategies.

[agentsaicodebasemcp
markpitt
markpitt
232

gcse-maths-tutor

GCSE Maths tutor and revision assistant for 15–16 year old students preparing for 2026 exams across AQA, Edexcel, OCR, and Eduqas boards. Use when a student asks for help understanding maths topics, answering exam questions, revising for GCSEs, working through calculations, or wants guidance on exam technique for GCSE Maths.

markpitt
markpitt
232

genaiscript

Comprehensive expertise for working with Microsoft's GenAIScript framework - a JavaScript/TypeScript-based system for building automatable LLM prompts and AI workflows. Use when creating, debugging, or optimizing GenAIScript scripts, implementing prompts-as-code, working with tools and agents, processing files (PDF, CSV, DOCX), defining schemas, or building AI automation workflows.

markpitt
markpitt
232

gcse-biology-tutor

GCSE Biology tutor and revision assistant for 15–16 year old students preparing for 2026 exams across AQA, Edexcel, OCR, and WJEC boards. Use when a student asks for help understanding biology topics, answering exam questions, revising for GCSEs, practising required practicals, or wants guidance on exam technique for GCSE Biology.

markpitt
markpitt
232

gcse-art-tutor

GCSE Art and Design (Fine Art) tutor and revision assistant for 15–16 year old students preparing for 2026 exams across AQA, Edexcel, OCR, and Eduqas/WJEC boards. Use when a student asks for help with their art GCSE, sketchbook, portfolio, artist research, annotations, ESA preparation, understanding assessment objectives, or the 10-hour exam. Also triggers on "GCSE Art", "art sketchbook", "ESA themes", "portfolio help", "art annotations", or "Fine Art GCSE".

markpitt
markpitt
232

freeagent-api

Interacts with the FreeAgent accounting API to manage invoices, contacts, projects, expenses, timeslips, and other financial data. Use when the user needs to retrieve, create, update, or analyze FreeAgent accounting information via the API. All write operations (POST/PUT/DELETE) require explicit user confirmation before execution and default to sandbox unless production is explicitly requested.

markpitt
markpitt
232

gcse-pe-tutor

GCSE Physical Education tutor and revision assistant for 15–16 year old students preparing for 2026 exams across AQA, Edexcel, OCR, and WJEC boards. Use when a student asks for help understanding PE topics, answering exam questions, revising anatomy and physiology, practising fitness tests, applying sports psychology, or wants guidance on exam technique for GCSE Physical Education.

markpitt
markpitt
232

fine-tuning-data-generator

Generates comprehensive synthetic fine-tuning datasets in ChatML format (JSONL) for use with Unsloth, Axolotl, and similar training frameworks. Gathers requirements, creates datasets with diverse examples, validates quality, and provides framework integration guidance.

markpitt
markpitt
232

dotnet-aspire

Adds .NET Aspire cloud-native orchestration to existing .NET solutions. Analyzes solution structure to identify services (APIs, web apps, workers), creates AppHost and ServiceDefaults projects, configures service discovery, adds NuGet packages, and sets up distributed application orchestration. Use when adding Aspire to .NET solutions or creating new cloud-ready distributed applications.

markpitt
markpitt
232

devcontainers

Provides expert guidance on Development Containers (devcontainers) — creating, configuring, and optimising containerised development environments using the Dev Container Specification. This skill should be used when users ask about devcontainer.json, .devcontainer setup, Dev Container Features or Templates, pre-building images, multi-container workflows, Docker-in-Docker, cloud development environments (Codespaces, DevPod), or troubleshooting container performance and permission issues.

[dockercontainersdevcontainersvscode
markpitt
markpitt
232

gcse-history-tutor

GCSE History tutor and revision assistant for 15–16 year old students preparing for 2026 exams across AQA, Edexcel, OCR, and Eduqas/WJEC boards. Use when a student asks for help understanding history topics, answering exam questions, revising for GCSEs, practising source analysis, writing essays, or wants guidance on exam technique for GCSE History.

markpitt
markpitt
232

gcse-english-literature-tutor

GCSE English Literature tutor and revision assistant for 15–16 year old students preparing for 2026 exams across AQA, Edexcel, OCR, and Eduqas boards. Use when a student asks for help with set texts (Macbeth, An Inspector Calls, Jekyll and Hyde, poetry anthology), analysing writer's methods, writing literature essays, comparing poems, revising for GCSE English Literature, practising past paper questions, or understanding themes and characters.

markpitt
markpitt
232

gcse-physics-tutor

GCSE Physics tutor and revision assistant for 15–16 year old students preparing for 2026 exams across AQA, Edexcel, OCR, and WJEC boards. Use when a student asks for help understanding physics topics, answering exam questions, revising for GCSEs, practising required practicals, solving calculation questions, or wants guidance on exam technique for GCSE Physics.

markpitt
markpitt
232

blazor-expert

Comprehensive Blazor development expertise covering Blazor Server, WebAssembly, and Hybrid apps. Use when building Blazor components, implementing state management, handling routing, JavaScript interop, forms and validation, authentication, or optimizing Blazor applications. Includes best practices, architecture patterns, and troubleshooting guidance.

markpitt
markpitt
232

blazor-blog-feature

Adds a complete blog feature to an existing Blazor WebAssembly Static Web App with Azure Functions backend and Azure File Share for markdown storage. Use when implementing blog functionality in .NET Blazor WASM projects with Azure infrastructure. Includes post listing, detail pages, markdown rendering, Azure Storage integration.

markpitt
markpitt
232

home-assistant-api

Orchestrates access to the Home Assistant REST API for programmatic control of smart home devices. Routes requests to specialized resource files based on task type - authentication, state management, service calls, entity types, or advanced queries. Provides intelligent decision tables for selecting appropriate endpoints and managing integrations.

markpitt
markpitt
232

root-cause-analysis

Conducts systematic root cause analysis using proven methodologies including Toyota's 5 Whys, Ishikawa fishbone diagrams, Pareto analysis, and fault tree analysis. Use when investigating bugs, debugging code, troubleshooting systems, diagnosing equipment failures, analyzing life problems, or identifying underlying causes of any issue across software engineering, hardware maintenance, process failures, or personal challenges.

markpitt
markpitt
232

thought-patterns

Orchestrates comprehensive cognitive thinking patterns for complex problem-solving. Analyzes tasks to select optimal pattern(s) from foundational, reasoning, creative, metacognitive, specialized, and neurodivergent categories. Chains multiple patterns when needed and validates outputs before responding.

markpitt
markpitt
232

microsoft-graph

Orchestration hub for Microsoft Graph API across Microsoft 365 services. Use for Graph API integrations, querying Microsoft 365 data, and building applications that interact with Azure AD.

markpitt
markpitt
232

mise

Provides expert guidance on mise (mise-en-place) — a polyglot dev tool and environment orchestrator that manages runtimes, environment variables, and project tasks. This skill should be used when users ask about mise configuration (mise.toml), installing or switching tool versions (Node, Python, Go, .NET, etc.), the mise task runner, environment variable management, secrets with SOPS/fnox, backends (ubi, cargo, npm, aqua), Lua plugins, shell hooks, migrating from asdf/nvm/direnv, or debugging with mise doctor.

[misedevtoolsruntimesenvironment
markpitt
markpitt
232

agent-patterns

Modular orchestration of agent patterns from Anthropic's engineering guide. Intelligently selects and implements prompt chaining, routing, parallelization, orchestrator-workers, evaluator-optimizer, and autonomous agents. Includes pattern combinations and language-specific implementations.

markpitt
markpitt
232

skill-creator

Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations.

markpitt
markpitt
232

twelve-factor-app

Applies the Twelve-Factor App methodology when designing, building, reviewing, or auditing cloud-native and SaaS applications. Use when asked about 12-factor compliance, app architecture for cloud platforms, environment configuration, stateless processes, deployment pipelines, service design, or scaling strategies. Covers all 12 factors: codebase, dependencies, config, backing services, build/release/run, processes, port binding, concurrency, disposability, dev/prod parity, logs, and admin processes.

[architecturecloud-nativesaasdevops
Adam Wiggins
Adam Wiggins
232

authjs-skills

Auth.js v5 setup for Next.js authentication including Google OAuth, credentials provider, environment configuration, and core API integration

gocallum
gocallum
237

ai-sdk-6-skills

AI SDK 6 Beta overview, agents, tool approval, Groq (Llama), and Vercel AI Gateway. Key breaking changes from v5 and new patterns.

gocallum
gocallum
237

prisma-orm-v7-skills

Key facts and breaking changes for upgrading to Prisma ORM 7. Consider version 7 changes before generation or troubleshooting

gocallum
gocallum
237

upstash-vector-db-skills

Upstash Vector DB setup, semantic search, namespaces, and embedding models (MixBread preferred). Use when building vector search features on Vercel.

gocallum
gocallum
237

clerk-nextjs-skills

Clerk authentication for Next.js 16 (App Router only) with proxy.ts setup, migration from middleware.ts, environment configuration, and MCP server integration.

gocallum
gocallum
237

mcp-server-skills

Pattern for building MCP servers in Next.js with mcp-handler, shared Zod schemas, and reusable server actions.

gocallum
gocallum
237

resend-integration-skills

Integrate Resend email service via MCP protocol for AI agents to send emails with Claude Desktop, GitHub Copilot, and Cursor. Set up transactional and marketing emails, configure sender verification, and use AI to automate email workflows.

gocallum
gocallum
237

PRD Mastery: Context-Aware, Expert-Driven, and Token-Efficient Refinement

A skill that blends the wisdom of top industry experts, ensures token-efficient PRDs, and organizes outputs in a clear folder structure.

gocallum
gocallum
237

google-docs

Manage Google Docs and Google Drive with full document operations and file management. Includes Markdown support for creating formatted documents with headings, bold, italic, lists, tables, and checkboxes. Also supports Drive operations (upload, download, share, search).

robtaylor
robtaylor
239

vespertide

Define database schemas in JSON and generate migration plans. Use this skill when creating or modifying database models, defining tables with columns, constraints, and ENUM types for Vespertide-based projects.

dev-five-git
dev-five-git
238

strava-api

Universal Strava API integration for fitness data management. Use when working with Strava activities, athlete profiles, segments, routes, clubs, or any fitness tracking data. Triggers on requests to get/create/update activities, analyze training stats, export routes, explore segments, or interact with Strava data programmatically.

kdoronin
kdoronin
232

text-to-sql

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kdoronin
kdoronin
232

plugin-creator

Comprehensive plugin development skill for Claude Code. Analyzes business requirements and creates complete plugins including MCP servers, skills, slash commands, or combinations thereof. Supports TypeScript, Python, and any other language. Provides architecture guidance, templates, and end-to-end implementation.

kdoronin
kdoronin
232

skill-orchestrator

This skill orchestrates programming tasks by analyzing available Claude Code skills and creating execution plans. It should be used when working on any coding task that could benefit from multiple specialized skills. The skill supports two execution modes selected by user - manual (Claude executes with explicit skill references) or delegated (tasks sent to sub-agents with skills).

kdoronin
kdoronin
232

project-agent-bootstrap

Bootstrap new or existing local projects for AI-assisted development by creating an `AGENTS.md` for Codex or a `CLAUDE.md` for Claude Code from the bundled rules template, wiring project-local MCP servers for Playwright and shadcn/ui, and initializing Git with a first checkpoint commit when needed. Use whenever the user asks to start a project with agent instructions, scaffold a repo for Codex or Claude Code, add local MCP servers to a project, or standardize an AI-ready project workspace before implementation begins.

kdoronin
kdoronin
232

robot-obo-tool

Skills for using ROBOT, the OBO ontology command-line toolkit for reasoning, template-based term creation, quality control, format conversion, and ontology manipulation. Use this when working with OWL/OBO ontologies that need automated processing.

ai4curation
ai4curation
231

run-deep-research

Run citation-bearing deep research with deep-research-client across OpenAI, Perplexity, Edison/Falcon, Cyberian, and site-specific providers such as OpenScientist. Use when a user asks for research reports, literature reviews, source-backed synthesis, or provider/model trade-off guidance.

ai4curation
ai4curation
231

ai4curation-configuration

Skill to assist with how a GitHub repository is configured with GitHub integrations, including instructions for agents in markdown (AGENTS and CLAUDE), github actions for invoking agents, and specific

ai4curation
ai4curation
231

ontology-access-kit

Skills for querying ontologies using the Ontology Access Kit (OAK). This should only be used for complex ontology operations, for basic external ontology searching use the OLS MCP

ai4curation
ai4curation
231

editing-obo-ontologies

Skills and tools for editing OBO format ontologies, including querying terms, checking out/checking in individual terms, and following OBO format conventions. Do not use this if the source for the ontology you are editing is not in obo format (e.g. ofn)

ai4curation
ai4curation
231

dosdp-design-patterns

Skills for understanding and applying DOSDP (Dead Simple Ontology Design Patterns) to ensure consistent ontology term creation and maintenance. This skill is about recognizing patterns and ensuring consistency, not using dosdp-tools directly.

ai4curation
ai4curation
231

generating-code-connect

Generates Figma Code Connect mappings for React or Angular repos, validates them with pre-checks and the Figma CLI, and can publish via figma connect. Use when a user provides a Figma file URL and a component repo and asks for Code Connect files, figma.config.json, or validation.

bitovi
bitovi
23

lineageos

Use when working with LineageOS custom ROM development, including syncing sources, building, device trees, repopick, Gerrit contributions, or LineageOS-specific features. Triggers on "LineageOS", "lineage-sdk", "breakfast", "brunch", "repopick", "vendor/lineage", "lineage.dependencies", "mka bacon".

hyperb1iss
hyperb1iss
23

android-build

Use when building Android apps (Gradle CLI) or ROMs (AOSP, LineageOS). Triggers on "gradle build", "assemble", "AOSP", "LineageOS", "lunch", "mka", "breakfast", "brunch", "compile android", "device tree", "kernel build".

hyperb1iss
hyperb1iss
23

android

Use when working with Android devices via ADB - connecting devices, running shell commands, installing apps, debugging, taking screenshots, UI automation, viewing logs, analyzing crashes, or exploring system internals. Triggers on "adb", "logcat", "install apk", "debug android", "android device", "shell command", "screenshot", "dumpsys", "crash", "ANR".

hyperb1iss
hyperb1iss
23

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Adoption

Agent Skills are supported by leading AI development tools.

FAQ

Frequently asked questions about Agent Skills.

01

What are Agent Skills?

Agent Skills are reusable, production-ready capability packs for AI agents. Each skill lives in its own folder and is described by a SKILL.md file with metadata and instructions.

02

What does this agent-skills.md site do?

Agent Skills is a curated directory that indexes skill repositories and lets you browse, preview, and download skills in a consistent format.

03

Where are skills stored in a repo?

By default, the site scans the skills/ folder. You can also submit a URL that points directly to a specific skills folder.

04

What is required inside SKILL.md?

SKILL.md must include YAML frontmatter with at least name and description. The body contains the actual guidance and steps for the agent.

05

How can I submit a repo?

Click Submit in the header and paste a GitHub URL that points to a skills folder. We’ll parse it and add any valid skills to the directory.